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Living Kidney Transplant: The Influence of Intra-Operative Hemodynamics on Delayed Graft Function Ryan Schutt D.O.1,3, Jamie Case Ph.D.1, Bethany Barrick B.S.1, Alice Toll B.S.2, Randolph Schaffer M.D.1, Jonathan Fisher M.D.1, Christopher Marsh M.D.1 1Scripps Center for Organ and Cell Transplantation, Scripps Green Hospital, La Jolla, CA 2Research Department and Data Analytics, United Network for Organ Sharing, Richmond, VA 3Department of General Surgery, Naval Medical Center-San Diego, San Diego, CA BACKGROUND RESULTS Living Kidney Transplant n = 111 DGF (dialysis in the first week) n = 10 SF (crt > 2.5 by end of first week) n = 11 GF n = 90 Despite advantages of living donor kidneys, intraoperative insults may subject these kidneys to poor outcomes. Therefore, we investigated whether intraoperative fluid volumes and hemodynamics in the donor, and recipient, could act as predictors of delayed graft function (DGF). Additionally, we investigated 1 year outcomes between groups. OBJECTIVES Determine the single center incidence of DGF in kidneys from living donors. Determine the influence of post-perfusion recipient central venous pressure and hypotension (systolic <90mmHg or diastolic <50mmHg) on the incidence of DGF. Determine the influence of donor pre-vascular isolation hypotension on the incidence of DGF. Determine the influence of donor and recipient intra-operative fluid totals on the incidence of DGF. Compare 1 year outcomes of graft function, biopsy findings and rejection between cohorts. Table 1: Summary of Recipient Findings Transplants (n = 111) DGF (n = 10) SF (n = 11) GF (n = 90) p-value Recipient Variable Age (years) 65.5 51 48.5 0.027 Sex 0.018 -Male 80% (8) 82% (9) 47% (42) -Female 20% (2) 18% (2) 53% (48) Hemodialysis < 0.001 -No 10% (1) 73% (8) 69% (63) -Yes 90% (9) 27% (3) 31% (28) HLA Mismatch NS 33% (3) 9% (1) 13% (12) 67% (6) 91% (10) 87% (78) Fluids Total (ml) 2250 2800 3000 Albumin 30% (3) 45% (5) 36% (31) 70% (7) 55% (6) 64% (55) Intra-Operative Hypotension 40% (4) 56% (48) 60% (6) 44% (37) Minimum CVP ≥ 12mmHg 56% (5) 24% (16) 0.009 Rejection 36% (4) 9% (8) 0.012 1 yr Kidney Function 0% (0) 1% (1) 100% (10) 100% (9) 98.6% (74) Intra-Operative Hypotension (systolic < 90mmHg or diastolic < 50mmHg) Table 2: Summary of Donor Findings Donors (n = 111) DGF (n=10) SF (n = 11) GF (n = 90) p-value Donor Variable Age (years) 47.5 46 45 NS Sex -Male 60% (6) 55% (6) 45% (40) -Female 40% (4) 45% (5) 55% (49) Height (cm) 174 175.5 167 0.031 Weight (kg) 85.7 85.2 74.7 0.022 BSA (m2) 2.0 1.8 Fluids Total (ml) 2750 2800 Albumin -No 100% (8) 96% (80) -Yes 0% (0) 4% (3) Intra-Operative Hypotension 56% (48) 44% (37) Intra-Operative Hypotension (systolic < 90mmHg or diastolic < 50mmHg) CONCLUSIONS This single center retrospective review suggests that delayed graft function (i.e. DGF) in living kidney recipients is a rare event. Poor graft function (i.e. DGF or SF) in the first week is associated with high intra-operative central venous pressure (≥12mmHg), despite no association with an incident of intra-operative hypotension. Furthermore, external factors such as larger donors may place the graft at risk for poor initial function. Operative fluid volumes showed no association with initial graft function. DGF and SF were associated with rejection. Despite this, one year graft function and survival were comparable. Prospective randomized studies are now needed to further elucidate the effects of intra-operative hemodynamics on initial graft function. METHODS Single institution retrospective chart review of all living kidney donors and recipients between the years Donor and recipient demographics, intra-operative hemodynamic and fluid data, and outcomes were collected and analyzed. First week graft function stratified recipients into three cohorts; DGF (need for dialysis), slow function (SF) (creatinine >2.5) and good function (GF). Cohorts were analyzed for differences between intra-operative fluid totals, hemodynamics and 1 year outcomes. Pearson Chi-square test for association was used for categorical variables, while the Kruskal-Wallis test was used for continuous variables. REFERENCES Kim WR, Lake JR, Smith JM, Skeans MA, Schladt DP, Edwards EB, et al. Optn/Srtr 2014 Annual Data Report. Am J Transplant [Internet]. 2016;16(S2):69–98. Available from: Yarlagadda SG, Coca SG, Formica RN, Poggio ED, Parikh CR. Association between delayed graft function and allograft and patient survival: A systematic review and meta-analysis. Nephrol Dial Transplant. 2009;24(3):1039–47. Zeraati AA, Naghibi M, Kianoosh S, Ashraf H. Impact of Slow and Delayed Graft Function on Kidney Graft Survival Between Various Subgroups Among Renal Transplant Patients. Transplant Proc [Internet]. 2009;41(7):2777–80. Available from: Siedlecki a, Irish W, Brennan DC. Delayed graft function in the kidney transplant. … J Transplant [Internet]. 2011;11(11):2279–96. Available from: Ferris RL, Kittur DS, Wilasrusmee C, Shah G, Krause E, Ratner L. Early hemodynamic changes after renal transplantation: determinants of low central venous pressure in the recipients and correlation with acute renal dysfunction. Med Sci Monit. 2003;9(2):CR61-R66. Bacchi G, Buscaroli A, Fusari M, Neri L, Cappuccilli ML, Carretta E, et al. The influence of intraoperative central venous pressure on delayed graft function in renal transplantation: A single-center experience. Transplant Proc. 2010;42(9):3387–91. Printed by
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